UAV Attack Dataset

UAV Attack Dataset

Simulation of multiple UAV platforms with both benign flights and malicious flights where UAV experiences GPS spoofing attack. Simulation environment follows standard Gazebo/PX4 setup (https://dev.px4.io/v1.9.0/en/simulation/gazebo.html). When the attack starts, normal GPS messages are stopped and i...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Whelan, Jason, Sangarapillai, Thanigajan, Minawi, Omar, Almehmadi, Abdulaziz, El-Khatib, Khalil
Format: Dataset
Sprache:eng
Schlagworte:
Drone
gps spoofing
intrusion detection
Machine Learning
Security
UAV
uav communication
Unmanned Aerial Vehicle
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Beschreibung
Zusammenfassung:Simulation of multiple UAV platforms with both benign flights and malicious flights where UAV experiences GPS spoofing attack. Simulation environment follows standard Gazebo/PX4 setup (https://dev.px4.io/v1.9.0/en/simulation/gazebo.html). When the attack starts, normal GPS messages are stopped and injected messages are created and sent from the Gazebo environment to the autopilots GPS sensor for 30 seconds. An autonomous survey flight is conducted over the University (~20min flight time). Full flight plan is located in the dataset package as "OTU-Survey.plan". The following UAV platforms are used:
DOI:10.21227/ncqe-6x65